Vision based driver alertness system for lane detection

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This paper presents lane detection used by IP camera. By using the Haugh transform, the lane is detected and gives the notification to the driver. It is also gives the left and right lane marking. In preprocessing, Gaussian filter is apply for smoothing and Canny edge detection method is used as it gives better response than the Sobel, Robert and Marr-Hildreth. Firstly, detect the red edge as left side lane and yellow edge which is for right side lane. The line sharpening is carried out with masking operation. The masking of the image for lane defines the threshold values specifically for Hue, Saturation, and Value (HSV). HSV values are different for red and yellow lane detection. Indication of direction needs to find the vanishing point, and the points are found by using cross product. This paper present display an overview of Hough Transform (HT) calculation as well as utilize it on a path location framework, whereas automobile and mechanical automaton depends upon MATLAB. This paper utilized Internet Protocol (IP) based driving path location framework to accomplish the objective of Advanced Driver Assistance Systems (ADAS). This system is used in car for driverless system.




Ganage, D. G., Nikam, N. S., & Wagh, S. A. (2019). Vision based driver alertness system for lane detection. International Journal of Engineering and Advanced Technology, 8(6), 1394–1397.

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